Data Scientist

job
  • Stefanini North America and APAC
Job Summary
Location
Jersey City ,NJ 07390
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
15 Jan 2025
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Job Description

Join our Digital Solutions team and drive innovation in commercial reporting using cutting-edge AI and Generative AI (GenAI). You will develop and deploy AI/GenAI solutions, leveraging large datasets to address key business needs in sales forecasting, planning, pricing, new product launches, and supply chain.


What You Will Do:

  • Design, develop, and implement AI models to generate insights on customers, brands, categories, and products.
  • Leverage GenAI (including LLMs) to generate innovative insights and transform reporting, summarizing business states and explaining trends.
  • Develop and maintain GenAI capabilities, tracking ROI and communicating with stakeholders.
  • Utilize analytical AI algorithms (e.g., regression, decision trees) for automated insight generation.
  • Implement anomaly detection algorithms to identify data anomalies and generate alerts.
  • Collaborate on integrating AI/GenAI into the company dashboard.
  • Continuously refine the AI/GenAI solution with new data and features.
  • Manage data extraction, preparation, and utilization for model training and implementation.
  • Maintain comprehensive documentation of AI models and GenAI solutions.
  • Report on tool performance and enhancements to management and stakeholders.


What You Will Bring:

  • Bachelor's in Information Systems/Technology, Computer Science, Analytics, or related field.
  • Strong analytical and problem-solving skills.
  • Proficiency in Python, SQL, and data visualization tools (e.g., Tableau, PowerBI).
  • Familiarity with cloud platforms (e.g., Google Cloud, Azure, Databricks).
  • Experience with data preprocessing, ETL, and NLP.
  • Expertise in GenAI (RAG, ChatGPT, Claude, Prompt Engineering) and deploying LLMs (Bedrock, ChatGPT, Llama, Mistral, Dbrx) in enterprise environments.
  • Understanding of GenAI ethics and the consumer goods/retail industry.
  • Excellent communication skills.


Good to Have:

  • Knowledge of syndicated data (e.g., Nielsen/IRI).
  • Experience with data containerization/orchestration, PySpark, R, Langchain, and LLM-based solutions.


This is an exciting opportunity to shape the future of commercial reporting with AI and GenAI.

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